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      <h1 class="post-title">Solr开发分词插件</h1>

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        <span class="post-time"> 2018-05-19 </span>
        
          <span class="more-meta"> 约 936 字 </span>
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      <p>如果已经有了一个自定义的分词库，那要怎么才能集成到Solr里面去呢，本文带你一步一步入坑&ndash;不对&ndash;，带你集成自定义分词库。</p>
<p>如果还没有自定义的分词库，希望写自己的Solr分词插件，可以先参考<a href="/2016/12/16/%E8%87%AA%E5%AE%9A%E4%B9%89Lucene%E7%9A%84%E5%88%86%E8%AF%8D%E5%99%A8Analyzer/">自定义Lucene的分词器Analyzer</a></p>
<!-- raw HTML omitted -->
<p>根据<a href="/2016/12/16/%E8%87%AA%E5%AE%9A%E4%B9%89Lucene%E7%9A%84%E5%88%86%E8%AF%8D%E5%99%A8Analyzer/">自定义Lucene的分词器Analyzer</a>一文，假设现在已经具备了<code>DemoTokenizer</code>类。因为在Solr里面可以只需要Tokenizer就可以了，而不一定需要Analyzer。</p>
<p>先看一下Solr里schema配置分词的定义：</p>
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<pre class="chroma"><code class="language-xml" data-lang="xml"><span class="nt">&lt;fieldType</span> <span class="na">name=</span><span class="s">&#34;text_demo&#34;</span> <span class="na">class=</span><span class="s">&#34;solr.TextField&#34;</span> <span class="na">positionIncrementGap=</span><span class="s">&#34;100&#34;</span><span class="nt">&gt;</span>
  <span class="nt">&lt;analyzer&gt;</span>
    <span class="nt">&lt;tokenizer</span> <span class="na">class=</span><span class="s">&#34;com.example.lucene.DemoTokenizerFactory&#34;</span> <span class="na">wordType=</span><span class="s">&#34;hello&#34;</span> <span class="nt">/&gt;</span>
    <span class="c">&lt;!-- some other filters --&gt;</span>
    <span class="nt">&lt;filter</span> <span class="na">class=</span><span class="s">&#34;solr.LowerCaseFilterFactory&#34;</span><span class="nt">/&gt;</span>
  <span class="nt">&lt;/analyzer&gt;</span>
<span class="nt">&lt;/fieldType&gt;</span>
</code></pre></td></tr></table>
</div>
</div><p>这里配置了一个字段类型为<code>text_demo</code>，使用了<code>com.example.lucene.DemoTokenizerFactory</code>这个工厂方法来处理对应字段的分词，同时还设置了一个属性<code>wordType</code>值为<code>hello</code>，在后面的代码中读取这个属性的值。这里配置了<code>DemoTokenizerFactory</code>分词处理类，那么就必须要有这么一个类了：</p>
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<pre class="chroma"><code class="language-java" data-lang="java"><span class="kn">package</span> <span class="nn">com.example.lucene</span><span class="o">;</span>

<span class="kn">import</span> <span class="nn">org.apache.lucene.analysis.Tokenizer</span><span class="o">;</span>
<span class="kn">import</span> <span class="nn">org.apache.lucene.analysis.util.TokenizerFactory</span><span class="o">;</span>
<span class="kn">import</span> <span class="nn">org.apache.lucene.util.AttributeFactory</span><span class="o">;</span>
<span class="kn">import</span> <span class="nn">java.util.Map</span><span class="o">;</span>

<span class="c1">// 需要继承org.apache.lucene.analysis.util.TokenizerFactory类并实现create方法
</span><span class="c1"></span><span class="kd">public</span> <span class="kd">class</span> <span class="nc">DemoTokenizerFactory</span> <span class="kd">extends</span> <span class="n">TokenizerFactory</span> <span class="o">{</span>

    <span class="c1">// 可以保存在上面schema定义的额外的属性参数
</span><span class="c1"></span>    <span class="kd">private</span> <span class="n">String</span> <span class="n">wordType</span> <span class="o">=</span> <span class="s">&#34;&#34;</span><span class="o">;</span>

    <span class="c1">// 需要一个构造方法，通过构造方法的args参数来读取schema设置的自定义的参数
</span><span class="c1"></span>    <span class="kd">public</span> <span class="nf">DemoTokenizerFactory</span><span class="o">(</span><span class="n">Map</span><span class="o">&lt;</span><span class="n">String</span><span class="o">,</span> <span class="n">String</span><span class="o">&gt;</span> <span class="n">args</span><span class="o">)</span> <span class="o">{</span>
        <span class="kd">super</span><span class="o">(</span><span class="n">args</span><span class="o">);</span>
        <span class="c1">// 调用完父类的构造函数后，可以读取schema里tokenizer节点定义的wordType参数
</span><span class="c1"></span>        <span class="c1">// 保存在类属性里面，然后在create方法来使用这个传入的参数
</span><span class="c1"></span>        <span class="n">wordType</span> <span class="o">=</span> <span class="n">args</span><span class="o">.</span><span class="na">getOrDefault</span><span class="o">(</span><span class="s">&#34;wordType&#34;</span><span class="o">,</span> <span class="s">&#34;&#34;</span><span class="o">);</span>
    <span class="o">}</span>

    <span class="nd">@Override</span>
    <span class="kd">public</span> <span class="n">Tokenizer</span> <span class="nf">create</span><span class="o">(</span><span class="n">AttributeFactory</span> <span class="n">factory</span><span class="o">)</span> <span class="o">{</span>
        <span class="c1">// 在这里直接new一个tokenizer对象即可
</span><span class="c1"></span>        <span class="k">return</span> <span class="k">new</span> <span class="n">DemoTokenizer</span><span class="o">();</span>
    <span class="o">}</span>
<span class="o">}</span>
</code></pre></td></tr></table>
</div>
</div><p>通过上面定义的<code>DemoTokenizerFactory</code>工厂类，就可以提供Solr需要的自定义分词功能了。如果你的自定义分词器需要额外的参数，比如调用一个rest api来进行分词，需要一个host和port，就可以通过在schema定义属性的办法来使分词可以更有弹性和适应不同的rest api而不需要改Solr自定义分词代码。</p>
<p>最后记得添加依赖</p>
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<pre class="chroma"><code class="language-xml" data-lang="xml"><span class="nt">&lt;dependencies&gt;</span>
    <span class="nt">&lt;dependency&gt;</span>
        <span class="nt">&lt;groupId&gt;</span>org.apache.lucene<span class="nt">&lt;/groupId&gt;</span>
        <span class="nt">&lt;artifactId&gt;</span>lucene-core<span class="nt">&lt;/artifactId&gt;</span>
        <span class="nt">&lt;version&gt;</span>7.2.0<span class="nt">&lt;/version&gt;</span>
        <span class="nt">&lt;scope&gt;</span>provided<span class="nt">&lt;/scope&gt;</span>
    <span class="nt">&lt;/dependency&gt;</span>
    <span class="nt">&lt;dependency&gt;</span>
        <span class="nt">&lt;groupId&gt;</span>org.apache.lucene<span class="nt">&lt;/groupId&gt;</span>
        <span class="nt">&lt;artifactId&gt;</span>lucene-analyzers-common<span class="nt">&lt;/artifactId&gt;</span>
        <span class="nt">&lt;version&gt;</span>7.2.0<span class="nt">&lt;/version&gt;</span>
        <span class="nt">&lt;scope&gt;</span>provided<span class="nt">&lt;/scope&gt;</span>
    <span class="nt">&lt;/dependency&gt;</span>
<span class="nt">&lt;/dependencies&gt;</span>
</code></pre></td></tr></table>
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